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Autonomous control system with drag meaurement capaility for a wind tunnel model vehicle

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thesis
posted on 28.03.2022, 11:41 authored by Shadeed Mahmud
In order to understand the aerodynamics of a model, wind tunnel testing is crucial and in wind tunnel testing there needs to be an accurate correlation between the environment inside the tunnel and the environment on the road. In the automotive industry, to make the test environment more realistic, a model vehicle being analyzed is now placed on a rolling road to simulate a moving ground. Inside wind tunnels as such, these models are supported by structures such as struts so that it can be held in place and a system of balance connected to these struts is used to measure the aerodynamic forces such as drag. These structures, however, interfere with wind tunnel results and it is standard practice to correct wind tunnel results for a model with and without presence of support structures. In order to make the wind tunnel test environment more realistic and results more accurate thus enabling us to understand the complete aerodynamics of a model, an advanced alternative is proposed and researched in this project. This project is about the development of an autonomous control system that can maintain a model vehicle's position inside a wind tunnel over a moving ground with high degree of accuracy and measure the drag the vehicle is experiencing. This thesis reviews existing technology in the field of wind tunnel testing and autonomous driving and discusses the development of an advanced mathematical algorithm for the aimed control system.

History

Table of Contents

1. Introduction -- 2. Literature review -- 3. Development of an advanced control system algorithm -- 4. Specific criteria based sensor analysis -- 5. Implementation of the control system -- 6. Interfacing with the control system -- 7. Conclusions -- Appendices -- Bibliography.

Notes

Bibliography: pages 91-92 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

MRes, Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2016

Principal Supervisor

Sammy Diasinos

Additional Supervisor 1

David Inglis

Rights

Copyright Shadeed Mahmud 2016. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xiii, 92 pages illustrations (some colour))

Former Identifiers

mq:70295 http://hdl.handle.net/1959.14/1262278

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